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AI-DRIVEN REMEDIATION FOR IT OPERATIONS
AI-Driven Remediation for IT Operations
From Incident Detection to Corrective Action with xVisor
xVisor brings automated remediation and AI-driven remediation together for modern IT operations. Using AIOps solutions, observability data and machine learning models, it helps operations teams move from root cause identification to corrective action faster. It’s built to work across cloud environments, hybrid infrastructure and enterprise environments alike.
The built-in Generative AI engine in xVisor processes analytical results to present in simple plain language along with recommendations for ‘best-practices’ while correlating them to known TTP (Tactics, Techniques, and Procedures). Additionally, the in-built Agentic AI brings automated on-demand abilities to investigate and discover relevant contexts of anomalies, check against established policies and procedures. It can also provide steps for automated remediation or perform the task itself when enabled via APIs.
- AI-Assisted Response
- Automated Workflows
- Operator Control
- Faster Resolution
THE CHALLENGE
Why Manual Remediation Slows Incident Response
Detecting an incident is only half the job. In complex, hybrid environments, teams often move between multiple tools and their individual dashboards to get a grasp on the root cause. The next step of remediation also requires the use of those individual tools for corrective action.
Traditional monitoring today with multiple tools requires high levels of manual work and skillset across cloud and on-prem systems, the challenges of siloed teams, fatigue, and elevated risk faced by almost all organizations.
DETECT → DIAGNOSE → RECOMMEND → REMEDIATE → VERIFY
How xVisor Remediation Works
xVisor closes the loop from detection to corrective action — each stage carrying the context of the last, so teams act on incidents instead of reassembling them by hand.
01
Detect and Prioritize
Use anomaly detection and observability data to identify incidents requiring attention across enterprise environments.
02
Diagnose the Issue
Use correlated telemetry and root cause identification to understand where an issue in your hybrid infrastructure originates.
03
Recommend Corrective Action
Match incident context with appropriate remediation logic, drawing on machine learning models and prior remediation actions.
04
Execute or Escalate
Help initiate automated remediation workflows where appropriate, or escalate complex incidents for human oversight.
05
Verify the Outcome
Continue monitoring to confirm service health has returned to expected behavior, closing the loop end to end.
OPERATIONAL ADVANTAGES
Benefits of xVisor Remediation
01
Faster Incident Response
Connect detection, diagnosis and corrective action to reduce mean time to resolution.
02
Reduced Manual Effort
Automate repetitive remediation actions that used to eat up operations teams’ time.
03
Consistent Remediation
Assist in applying configurable logic for repeatable, AI-driven remediation across cloud environments and on-prem infrastructure alike.
04
Oversight in the Loop
Keep people in control of escalation and automated decisions — AI-driven remediation supports operations teams, it doesn’t replace human oversight.
05
ITOps + SecOps Alignment
Bring operations teams and security teams together around shared observability data.
06
AI-Supported Response Assistance
Based on industry best practices and 3rd party agencies like MITRE ATT&CK, etc.
MEASURABLE IMPACT
Measurable Impact
>90%
Incident Response Time Reduction
Hours to Minutes
Mean Time to Resolution Reduction
Days to Hours
Manual Remediation Effort Reduction
See xVisor Remediation in Action
See how xVisor combines AIOps solutions, root cause identification and automated remediation to help enterprise IT teams close the loop from detection to corrective action.